Profile Job Results
Jobs
j1p3ooe3p
Results Ready
Name
regnet_quantized
Target Device
- QCS8250 (Proxy)
- Android 12
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor
: uint8[1, 224, 224, 3]Completion Time
8/11/2024, 6:30:56 AM
Versions
- TensorFlow Lite: 2.16.1
- Android: 11 (RP1A.200720.012)
- AI Hub: aihub-2024.08.01.0
Estimated Inference Time
40.9 ms
Estimated Peak Memory Usage
1 - 64 MB
Compute Units
GPU
91
CPU
13
NPU
12
Stage | Time | Memory |
---|---|---|
First App Load | 2.07 s | 138-139 MB |
Subsequent App Load | 324 ms | 23-116 MB |
Inference | 40.9 ms | 1-64 MB |
TensorFlow Lite | Value |
---|---|
number_of_threads | 4 |
NNAPI Delegate | Value |
---|---|
accelerator_name | "qti-dsp" |
execution_preference | kSustainedSpeed |
allow_fp16 | true |
NNAPI Delegate | Value |
---|---|
accelerator_name | "qti-hta" |
execution_preference | kSustainedSpeed |
allow_fp16 | true |
GPUv2 Delegate | Value |
---|---|
inference_preference | TFLITE_GPU_INFERENCE_PREFERENCE_SUSTAINED_SPEED |
inference_priority1 | TFLITE_GPU_INFERENCE_PRIORITY_MIN_LATENCY |
inference_priority2 | TFLITE_GPU_INFERENCE_PRIORITY_MIN_MEMORY_USAGE |
inference_priority3 | TFLITE_GPU_INFERENCE_PRIORITY_MAX_PRECISION |
XNNPACK Delegate | Value |
---|
Sign up to run this model on a hosted Qualcomm® device!
Run on device